How? Well, the trick is in the word Cling which is an interactive C++ interpreter built on top of Clang and LLVM. Imagine my surprise when I came across Xeus-Cling kernel which allows users to run their C++ codes on Jupyter Notebook. Of course, the reason it was not supported was that C++ programs have to be first compiled and then executed unlike Python which is an interpreted language and that’s why we are able to use it in Python or IPython prompt. One thing that I always found missing in Jupyter Notebook was the support for the C++ language. This power of Jupyter Notebook can be witnessed live in the gallery of interesting Jupyter Notebooks. along with an amazing set of widgets make it a very powerful and easy-to-use solution. The vast range of programming languages covered – R, Python, Julia, MATLAB, etc. You can interactively experiment with your code while writing it and that makes for a pleasurable programming experience. Jupyter Notebook, formerly known as IPython Notebook, in my opinion, is one of the best tools for a programmer. Facial Landmark Detection using OpenCV and Dlib in C++
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